By now, we've all heard that the industry is moving towards an "AI first" vision where machine learning powered features like computer vision and natural language processing, drive innovations like autonomous driving, speech & object recognition, smart assistants and more.
But what does this mean for developers? Do we need PhD-level expertise in data science? What tools & technologies should we master? Where is it useful and why should we care? In this talk, we'll look at machine learning through a pragmatic lens - learning what you need to get the current job done, then exploring paths you can follow to evolve those solutions as your expertise and requirements grow.